Smart Grid Security: Threats, Vulnerabilities and Solutions

Aloul, Fadi; Al-Ali, A. R.; Al-Dalky, Rami; Mardini, Mamoun; El-Hajj, Wassim

doi:10.12720/sgce.1.1.1-6

Cited by 156 publications

(60 citation statements)

References 7 publications

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“…The eavesdropping attack undermines the confidentiality of the metering reports by an adversarial party. This third party does this by monitoring network traffic and can obtain data such as future price information, control structure, and power consumption [50].…”

Section: Compromising the Physical Metermentioning

confidence: 99%

Smart Grid Cyber Security: An Overview of Threats and Countermeasures

López¹,

Sargolzaei²,

Santana³

et al. 2015

JEPE

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Abstract:The smart grid is the next generation of power and distribution systems. The integration of advanced network, communications, and computing techniques allows for the enhancement of efficiency and reliability. The smart grid interconnects the flow of information via the power line, intelligent metering, renewable and distributed energy systems, and a monitoring and controlling infrastructure. For all the advantages that these components come with, they remain at risk to a spectrum of physical and digital attacks. This paper will focus on digital vulnerabilities within the smart grid and how they may be exploited to form full fledged attacks on the system. A number of countermeasures and solutions from the literature will also be reported, to give an overview of the options for dealing with such problems. This paper serves as a triggering point for future research into smart grid cyber security.

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Section: Compromising the Physical Metermentioning

confidence: 99%

Smart Grid Cyber Security: An Overview of Threats and Countermeasures

López¹,

Sargolzaei²,

Santana³

et al. 2015

JEPE

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“…[2,12,18,19] define smart grid as a cyber-physical system (CPS) and identify unique security challenges and issues encountered in such systems that are not prevalent in traditional IT security. They also discuss security solutions to address these unique challenges.…”

Section: Related Workmentioning

confidence: 99%

Cyber-secure communication architecture for active power distribution networks

Tesfay

Hubaux

Boudec

et al. 2014

Proceedings of the 29th Annual ACM Symposium on Applied Computing

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Active power distribution networks require sophisticated monitoring and control strategies for efficient energy management and automatic adaptive reconfiguration of the power infrastructure. Such requirements are realised by deploying a large number of various electronic automation and communication field devices, such as Phasor Measurement Units (PMUs) or Intelligent Electronic Devices (IEDs), and a reliable two-way communication infrastructure that facilitates transfer of sensor data and control signals. In this paper, we perform a detailed threat analysis in a typical active distribution network's automation system. We also propose mechanisms by which we can design a secure and reliable communication network for an active distribution network that is resilient to insider and outsider malicious attacks, natural disasters, and other unintended failure. The proposed security solution also guarantees that an attacker is not able to install a rogue field device by exploiting an emergency situation during islanding.

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“…This technology enables utilities to supply electric power more efficiently and reduce unnecessary blackouts. The platform of IoTs offers Power utilities opportunity to monitor and control electric power grid [4]. Using data from the infrastructure, the Power utility can be alerted to any eventuality and respond expeditiously.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for using Internet of Things (IoTs) to Improve Load Management in Electric Power Grid

Mahlangu¹,

Musungwini²,

Nleya³

2018

IJCA

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Several new technologies, for example, the Internet of Things (IoTs) continue to surface in the frontage of ubiquitous and pervasive computing. Internet of things is slowly being embraced in different domains to support control and monitoring systems. The advent of microprocessors embedded with communication facilities has enabled the possibility of integrating ICTs within people and their environments. With the power utilities industry grappling with serious issues like load management which has a potential of damaging their equipment, first movers are turning to advanced technologies such as the IoTs to achieve demandside management. The purpose of this study was to conduct a theoretical and empirical review on the approaches used by Power utilities to manage load in order to determine how IoTs can be used particularly by Zimbabwe's Power utility to solve the supply-demand problem. Currently, the load management approaches used by the Power utility in Zimbabwe are load shifting and load shedding. A conceptual model was developed using C++ guided by the algorithm for load management. The model development was motivated by the research gap establish from the literature review and the problem faced by the Power utility in Zimbabwe in balancing demand and supply during peak periods. The idea is modelled around continuous monitoring of the feeder or substation, activating the automatic control and carrying out load allocation procedure based on priority settings, connection, and re-connection timings. The proposed model is also based on the dependence of demand and consumer priority perception. The model will ensure that electricity is available for basic and essential use in times of increased demand. It requires that load demand is constantly monitored to trigger automatic control and appliances should connect to the electric power grid using smart plugs.

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Smart Grid Security: Threats, Vulnerabilities and Solutions

Cited by 156 publications

References 7 publications

Smart Grid Cyber Security: An Overview of Threats and Countermeasures

Smart Grid Cyber Security: An Overview of Threats and Countermeasures

Cyber-secure communication architecture for active power distribution networks

An Algorithm for using Internet of Things (IoTs) to Improve Load Management in Electric Power Grid

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